With new technologies revolutionizing data collection, wildlife researchers are becoming increasingly able to collect data at much higher volumes than ever before. Now we are facing the challenges of putting this information to use, bringing the science of big data into the conservation arena. With the help of machine learning tools, this area holds immense potential for conservation practices. The applications range from online trafficking alerts to species-specific early warning systems to efficient movement and biodiversity monitoring and beyond.
However, the process of building effective machine learning tools depends upon large amounts of standardized training data, and conservationists currently lack an established system for standardization. How to best develop such a system and incentivize data sharing are questions at the forefront of this work. There are currently multiple AI-based conservation initiatives, including Wildlife Insights and WildBook, that are pioneering applications on this front.
This group is the perfect place to ask all your AI-related questions, no matter your skill level or previous familiarity! You'll find resources, meet other members with similar questions and experts who can answer them, and engage in exciting collaborative opportunities together.
Just getting started with AI in conservation? Check out our introduction tutorial, How Do I Train My First Machine Learning Model? with Daniel Situnayake, and our Virtual Meetup on Big Data. If you're coming from the more technical side of AI/ML, Sara Beery runs an AI for Conservation slack channel that might be of interest. Message her for an invite.
Header Image: Dr Claire Burke / @CBurkeSci
Explore the Basics: AI
Understanding the possibilities for incorporating new technology into your work can feel overwhelming. With so many tools available, so many resources to keep up with, and so many innovative projects happening around the world and in our community, it's easy to lose sight of how and why these new technologies matter, and how they can be practically applied to your projects.
Machine learning has huge potential in conservation tech, and its applications are growing every day! But the tradeoff of that potential is a big learning curve - or so it seems to those starting out with this powerful tool!
To help you explore the potential of AI (and prepare for some of our upcoming AI-themed events!), we've compiled simple, key resources, conversations, and videos to highlight the possibilities:
Three Resources for Beginners:
- Everything I know about Machine Learning and Camera Traps, Dan Morris | Resource library, camera traps, machine learning
- Using Computer Vision to Protect Endangered Species, Kasim Rafiq | Machine learning, data analysis, big cats
- Resource: WildID | WildID
Three Forum Threads for Beginners:
- I made an open-source tool to help you sort camera trap images | Petar Gyurov, Camera Traps
- Batch / Automated Cloud Processing | Chris Nicolas, Acoustic Monitoring
- Looking for help with camera trapping for Jaguars: Software for species ID and database building | Carmina Gutierrez, AI for Conservation
Three Tutorials for Beginners:
- How do I get started using machine learning for my camera traps? | Sara Beery, Tech Tutors
- How do I train my first machine learning model? | Daniel Situnayake, Tech Tutors
- Big Data in Conservation | Dave Thau, Dan Morris, Sarah Davidson, Virtual Meetups
Want to know more about AI, or have your specific machine learning questions answered by experts in the WILDLABS community? Make sure you join the conversation in our AI for Conservation group!
- @Kyle_Birchard
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Building tools for research and management of insect populations
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- @diego_ellis_soto
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University of California & California Academy of Sciences
Biodiversity |Technology | Socio-Ecological Systems | Wildlife Ecology | Remote Sensing | Conservation | K12STEM-education | Music | diegoellissoto.org
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- @dka32
- | He
I am a highly motivated individual with a background in Natural Resources Management. I am a conservationist who desire to make an impact in the field of conservation using technology.
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Retired Engineer / UAV interests / Photographer
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- @ColleenEarthScape
- | She/her/hers
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- @Alawa
- | She/Her
Passionate wildlife and biodiversity conservationist
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- @mattaudette
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Software Tester and Test Automator at Wildlife Protection Solutions
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- @Rutwik
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- @williams
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I am a conservationist specializing in endangered species, particularly vultures. As the Endangered Species Conservation Coordinator/Co-Founder at Biota Conservation Hub Foundation (BiotaCHF), I have conducted extensive research/conservation of vultures and other water birds.
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- @ARobillard
- | He/Him
A conservation data scientist and field ecologist with broad interest in the application of machine learning and population genetics to the conservation of threatened species. Alex has conducted field studies throughout central and south America, the Caribbean, and North America.
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- @Joynyamshangi
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Careers
Join the BirdNET team!
Holger Klinck
The BirdNet team are seeking to fill three roles, including an Ecologist, Data scientist and an Embedded Systems Engineer based in Germany.
9 September 2022
Careers
At the Inria Sophia Antipolis - Méditerranée center. The project will pursue two different methodological goals: (1) explore the use of natural language bottlenecks describing visible traits or other visual...
1 September 2022
Link
Silva et al - - R package to train convolutional neural networks & employ them to classify sounds - sound event classification pipeline, from annotating recordings to automating trained networks - case...
1 September 2022
Article
This is the first in a series by David Thau on the promise and challenges to using AI and machine learning to create a planetary environmental management system.
31 August 2022
Article
Mara Predators Hackathon
Alessandro Mazzi
APPLY NOW! The Sovereign Nature Initiative has partnered with the Kenya Wildlife Trust to experiment with emerging technologies to support their predators' conservation work.Challenges will focus on:1. Lion...
30 August 2022
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Research Associate in Conservation Ecology at QUT
Carly Batist
This project is part of the Conservation AI Network. We aim to help threatened species & manage invasive species using leading edge analytics and artificial intelligence algorithms. The primary purpose of the...
29 August 2022
Careers
Conservation Technology Research Internship
Meredith Palmer
Boost cons tech capacity at an international NGO! Fauna & Flora International is offering a paid three-month internship to consolidate and share best practices for the application of emerging hardware and software...
26 August 2022
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Postdoc in the application of AI for wildlife conservation & management
Tim R. Hofmeester
The Department of Wildlife, Fish, and Environmental Studies (WFE), SLU, Umeå, is looking for a postdoc with strong interests in wildlife conservation technology.
26 August 2022
Article
Ceres Wild Rhino application
Kim Lane
An update on Ceres Tags products that are being used in conservation
22 August 2022
Careers
Lead Software Engineer for ARISE
Chantal Huijbers
Job opening at ARISE, an innovative program in the Netherlands to build a digital infrastructure for biodiversity data and services
19 August 2022
Careers
Lead Software Engineer, Wildlife Insights
Nicole Flores
Are you creative, love new challenges and have experience developing software? The Wildlife Insights team is hiring! Join a diverse team of ecologists, data scientists, engineers and machine learning experts to protect...
10 August 2022
Careers
The Marine Robotics and Remote Sensing (MaRRS) Lab at Duke University seeks a highly motivated UAS pilot and geospatial analyst to support the ongoing development of new and existing research and conservation programs,...
10 August 2022
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| Description | Activity | Replies | Groups | Updated |
|---|---|---|---|---|
| Hi Nick!At Birds Canada, our NatureCounts open data platform connects bird and biodiversity data with people who need it for conservation and research. In particular, our mobile... |
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AI for Conservation, Emerging Tech | 1 minute 5 seconds ago | |
| This survey on camera trap use is a valuable effort to improve data quality and consistency in wildlife monitoring. Looking forward to the results and how they will help shape... |
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Camera Traps, AI for Conservation, Open Source Solutions | 45 minutes 39 seconds ago | |
| Alien Invasive Plants (AIP) have become a major threat to South Africa's sensitive Fynbos biome. In 2017 and 2018, fires in the Western... |
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AI for Conservation, Citizen Science, Conservation Tech Training and Education, Drones, Geospatial, Human-Wildlife Conflict, Open Source Solutions | 16 hours 32 minutes ago | |
| Ritika, All the best! I hope someone provides a more substantive answer! I have also graduated with masters in AI and ML recently. Difference being I am at the end of my... |
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AI for Conservation, Software Development | 1 month 1 week ago | |
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AI for Conservation, Emerging Tech, Sensors | 4 days 2 hours ago | ||
| We’re excited to launch our WILDLABS-funded project to adapt open-source recording hardware and AI tools to help monitor amphibians, with... |
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Acoustics, AI for Conservation, Latin America Community, Open Source Solutions | 5 days 19 hours ago | |
| We’re excited to announce that Deep Voice has received a 2025 Wildlabs Award to develop a public, web-based platform for marine mammal... |
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Acoustics, AI for Conservation, Marine Conservation | 5 days 20 hours ago | |
| True, the US ecosystem is a challenging space right now, for basically all sectors. We should not let the US chaos prevent us from engaging with opportunities in other... |
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AI for Conservation, Camera Traps, Connectivity, Drones, Emerging Tech, Ethics of Conservation Tech, Marine Conservation, Sensors | 1 month 2 weeks ago | |
| Fascinating article, combining machine learning and acoustical signals to correlate coral reef health.https://www.sciencedirect.com/science... |
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Acoustics, AI for Conservation, Marine Conservation | 3 years ago | |
| MIT has this Moo Deng-based fun challenge! More seriously it relates to AI and human-nature interaction. I imagine people on Wildlabs would... |
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AI for Conservation | 1 week 3 days ago | |
| Hi Ethan, It's indeed a competitive area. My advice for you (and anybody else seeking a PhD supervisor)...Do background research on each individual potential supervisor and always... |
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Early Career, AI for Conservation, Animal Movement, Climate Change | 2 weeks ago | |
| Hi everyone,What should we share or demo about Software Quality Assurance? Alex Saunders and I, the two Software QA people at Wildlife Protection Solutions (WPS) are going to... |
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Software Development, AI for Conservation, Open Source Solutions | 2 weeks ago |
Call for Nominations: Tusk Conservation Awards
3 March 2020 12:00am
Competition: Plastic Data Challenge
Ellie Warren
3 March 2020 12:00am
Hawai'i Conservation Conference
Hawaiʻi Conservation Alliance
28 February 2020 12:00am
Competition: The Artisanal Mining Grand Challenge
26 February 2020 12:00am
Listening to Nature: The Emerging Field of Bioacoustics
24 February 2020 12:00am
Team for Building of ML app for horse identification and conservation
20 February 2020 11:09pm
HWC Tech Challenge Update: Thermal Elephant Alert System
17 February 2020 12:00am
ICEI2020: 11th International Conference on Ecological Informatics
ICEI 2020
14 February 2020 12:00am
Seafood fund seeks ideas for innovation projects up to £250k
11 February 2020 12:00am
WILDLABS Virtual Meetup Recording: Acoustic Monitoring
WILDLABS Team
5 February 2020 12:00am
AI for camera trap public data
17 December 2019 9:20pm
A New Cloud Platform Unveils the Most Diverse Camera Trap Database in the World
17 December 2019 12:00am
[ARCHIVED] Workshop on Deep Learning Methods and Appliocations for Animal Re-Identification
25 November 2019 6:24pm
WACV2020 AI for Animal Re-ID: Deep Learning Methods and Applications for Animal Re-Identification
25 November 2019 12:00am
WILDLABS Virtual Meetup Recording: Drones
WILDLABS Team
9 November 2019 12:00am
Camera Trapping: Incredibly Useful Resources List
5 November 2019 12:00am
Who wants to learn Python? Courses to get you started coding
2 May 2016 3:13pm
1 March 2019 9:20am
Hello everyone what are you wating for..
All US, UK, India users can enroll courses from Intellipaat (the largest IT trainng company)
check some of thier superb training list:
29 October 2019 4:52pm
Chuck's Python for Everyone course is available these days at www.py4e.com, and he's also created a course called Web Apps for Everyone www.wa4e.com. Both excellent resources, and he's a strong proponent for (and creator of) open source educational tools in general.
Lucy
Plant-Powered Camera Trap Breakthrough
15 October 2019 12:00am
Using Artificial Intelligence to Track Birds’ Dark-of-Night Migrations
9 October 2019 12:00am
Camera Trap Technology Symposium (Recordings): Bringing Developers and Users Together
2 September 2019 12:00am
ICCB 2019: 5 Key Discussions about the Future of Conservation Tech
21 August 2019 12:00am
Conservation biologists find new applications for AI tools
5 August 2019 2:57pm
Automated Identification of Indonesian Rhinos
27 July 2019 12:00am
[ARCHIVED] Position: UI/UX Machine Learning Engineer
8 July 2019 11:27pm
[ARCHIVED] Position: Senior Computer Vision Research Engineer
8 July 2019 10:42pm
Hello buzzing World!
7 July 2019 6:55pm
ML at the Edge
28 June 2019 8:16am
Meetup: Machine Learning/AI on Earth Observation Data (23 July, London)
21 June 2019 12:00am
New open data site for fisheries
10 June 2019 7:17pm
Workshop & Challenges on Computer Vision for Wildlife Conservation (CVWC) at ICCV 2019
5 June 2019 6:51am
31 August 2017 9:06am
A couple of years ago I completed the Coursera course Programming for Everybody (Getting Started with Python) with Charles Severance. I found it really well paced and well taught. He's a very personable tutor, and has also written a free book Python for Everybody, available as a PDF.
I found the Coursera course on R Programming with Roger Peng to be more difficult to follow, but I'm not sure whether that was down to the teaching style or the language itself. For R, I'd definitely recommend the best place to get started is swirl - Learn R, in R!
Happy coding